About: Relational Subgroup Discovery for Gene Expression Data Mining

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	Není k dispozici (cs) We propose a methodology for predictive classification from gene expression data, able to combine the robustness of high-dimensional statistical classification methods with the comprehensibility and interpretability of simple logic-based models. We first construct a robust classifier combining contributions of a large number of gene expression values, and then search for compact summarizations of subgroups among genes associated in the classifier with a given class. The subgroups are described by means of relational logic features extracted from publicly available gene annotations. The curse of dimensionality pertaining to the gene expression based classification problem due to the large number of attributes (genes) is turned into an advantage in the secondary subgroup discovery task, as here the original attributes become learning examples. We propose a methodology for predictive classification from gene expression data, able to combine the robustness of high-dimensional statistical classification methods with the comprehensibility and interpretability of simple logic-based models. We first construct a robust classifier combining contributions of a large number of gene expression values, and then search for compact summarizations of subgroups among genes associated in the classifier with a given class. The subgroups are described by means of relational logic features extracted from publicly available gene annotations. The curse of dimensionality pertaining to the gene expression based classification problem due to the large number of attributes (genes) is turned into an advantage in the secondary subgroup discovery task, as here the original attributes become learning examples. (en)
Title	Není k dispozici (cs) Relational Subgroup Discovery for Gene Expression Data Mining Relational Subgroup Discovery for Gene Expression Data Mining (en)
skos:prefLabel	Není k dispozici (cs) Relational Subgroup Discovery for Gene Expression Data Mining Relational Subgroup Discovery for Gene Expression Data Mining (en)
skos:notation	RIV/68407700:21230/05:03115158!RIV07-AV0-21230___
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(1ET101210513), P(KJB201210501)
http://linked.open...vai/riv/dodaniDat	2007
http://linked.open...aciTvurceVysledku	Štěpánková, Olga Železný, Filip
http://linked.open.../riv/druhVysledku	A(V) - Audiovizuální tvorba se vzdáleným přístupem
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	České vysoké učení technické v Praze / Fakulta elektrotechnická
http://linked.open...dnocenehoVysledku	540635
http://linked.open...ai/riv/idVysledku	RIV/68407700:21230/05:03115158
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	gene expression data mining (en)
http://linked.open.../riv/klicoveSlovo	gene expression data mining
http://linked.open...i/riv/kodPristupu	L
http://linked.open...ontrolniKodProRIV	[A3DCEDACFB71]
http://linked.open...i/riv/mistoVydani	Praha
http://linked.open...n/vavai/riv/nosic	neuvedeno
http://linked.open...in/vavai/riv/obor	JC
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	4 (xsd:int)
http://linked.open...vavai/riv/projekt	Relational machine learning for analysis of biomedical data Logic-based machine learning for genomic data analysis
http://linked.open...UplatneniVysledku	2005
http://linked.open...iv/tvurceVysledku	Lavrač, N. Tolar, J. Železný, Filip Štěpánková, Olga
http://localhost/t...ganizacniJednotka	21230

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